nuster1128 / Awesome-Causal-PapersLinks
We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
☆94Updated 2 years ago
Alternatives and similar repositories for Awesome-Causal-Papers
Users that are interested in Awesome-Causal-Papers are comparing it to the libraries listed below
Sorting:
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记 和slides总结☆33Updated 5 months ago
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated 2 years ago
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆19Updated 2 years ago
- ☆26Updated 3 years ago
- A list of Graph Causal Learning materials.☆207Updated 9 months ago
- An awesome collection of causality-inspired graph neural networks.☆93Updated 11 months ago
- ☆33Updated 3 months ago
- Papers collections that is related to knowledge graph, causal inference, and large language model☆65Updated last year
- ☆40Updated last year
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆517Updated 2 years ago
- An index of causal inference based recommendation algorithms (TOIS).☆61Updated last year
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆31Updated 2 years ago
- AAAI 2024 Accept☆18Updated last year
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆97Updated 2 years ago
- This is an implementation for our paper "Addressing Confounding Feature Issue for Causal Recommendation" based on PyTorch.☆22Updated 2 years ago
- ☆34Updated last year
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 4 years ago
- ☆23Updated 2 years ago
- (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks☆133Updated 2 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆117Updated 2 years ago
- Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)☆39Updated 8 months ago
- Paper lists for Temporal Point Process☆119Updated 4 months ago
- ☆45Updated last year
- The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIP…☆22Updated last year
- 🛠 How to Apply Causal ML to Real Scene Modeling?How to learn Causal ML?【✔从Causal ML到实际场景的Uplift建模】☆149Updated 2 years ago
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆18Updated 3 years ago
- Paper List for Fair Graph Learning (FairGL).☆142Updated last year
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆76Updated 4 years ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆19Updated last year
- ☆45Updated 6 years ago